Data

overview

##        x                y          LOCAL_DATE        TOTAL_PRECIPITATION
##  Min.   :-122.7   Min.   :53.88   Length:29571       Min.   : 0.000     
##  1st Qu.:-122.7   1st Qu.:53.89   Class :character   1st Qu.: 0.000     
##  Median :-122.7   Median :53.89   Mode  :character   Median : 0.000     
##  Mean   :-122.7   Mean   :53.89                      Mean   : 1.603     
##  3rd Qu.:-122.7   3rd Qu.:53.89                      3rd Qu.: 1.600     
##  Max.   :-122.7   Max.   :53.89                      Max.   :50.000     
##                                                      NA's   :223        
##  STATION_NAME       MAX_TEMPERATURE   MIN_TEMPERATURE     TOTAL_RAIN    
##  Length:29571       Min.   :-36.900   Min.   :-50.000   Min.   : 0.000  
##  Class :character   1st Qu.:  2.000   1st Qu.: -6.100   1st Qu.: 0.000  
##  Mode  :character   Median : 10.000   Median : -0.400   Median : 0.000  
##                     Mean   :  9.441   Mean   : -1.775   Mean   : 1.134  
##                     3rd Qu.: 18.300   3rd Qu.:  5.400   3rd Qu.: 0.400  
##                     Max.   : 37.900   Max.   : 20.700   Max.   :50.000  
##                     NA's   :78        NA's   :62        NA's   :4989    
##  MIN_REL_HUMIDITY
##  Min.   : 11.00  
##  1st Qu.: 37.00  
##  Median : 51.50  
##  Mean   : 53.09  
##  3rd Qu.: 69.00  
##  Max.   :100.00  
##  NA's   :21167
##                   x                   y          LOCAL_DATE TOTAL_PRECIPITATION 
##                   0                   0                   0                 223 
##        STATION_NAME     MAX_TEMPERATURE     MIN_TEMPERATURE          TOTAL_RAIN 
##                   0                  78                  62                4989 
##    MIN_REL_HUMIDITY 
##               21167

check wrangling data

check temp dist for in a random day from all year value

##    [1]   6.7   7.8  12.2   7.8   5.0   5.6   4.4   3.9   4.4   5.0   7.8   8.9
##   [13]   8.9   6.1   9.4   3.9   1.7  -3.9  -2.8  -1.1  -0.6   5.6  10.6  12.8
##   [25]  10.6   8.9  11.7  15.0  15.6  12.2   5.0   7.8   4.4   6.1   7.2   8.3
##   [37]   4.4   6.1   6.7   5.0   6.1   7.2   4.4   6.7   6.7   8.3   8.3   6.7
##   [49]   7.8   8.3   1.1   2.8   6.7   6.1   6.7  10.0   8.3   7.2   2.8   5.0
##   [61]   8.9   6.7   8.3   8.9   8.3   7.8  11.7  12.2  13.9  10.0  10.0   5.0
##   [73]   5.6  -2.2  -1.1   1.7   1.1   1.7   4.4   7.2   3.9   3.9   8.9   6.1
##   [85]   4.4   7.2   1.7  -2.8  -4.4  -0.6   3.9   5.0   7.8   6.7   4.4   5.0
##   [97]   3.3   3.9   3.9   6.1   7.2   6.1   7.8   8.9  11.7   6.7   7.8  13.9
##  [109]   8.9   8.9   8.9   7.2   4.4   3.9   4.4   3.3   5.0   6.1   5.0   5.0
##  [121]   4.4   1.7   7.8   5.6   9.4   4.4   5.0   7.2   6.1   7.2   9.4  13.3
##  [133]  13.9   8.3   8.3   5.0   1.7   5.6   6.1   7.2   7.2   9.4   7.8   2.2
##  [145]   3.3   2.8   4.4   5.6   2.8  10.0   4.4   5.6   5.0  11.1   5.0   7.2
##  [157]   9.4   6.1   5.6   3.9   5.6   6.1   8.3   7.2   8.3   6.7   8.9   3.3
##  [169]   5.6  -1.1  -4.4  -5.0   0.6   4.4   2.8   1.7 -10.0  -6.7  -5.0   1.7
##  [181]  -3.9  -7.8 -16.7 -11.1  -3.3   4.4   5.0   9.4   9.4   7.8   7.8   3.3
##  [193]   6.1   5.0   6.7   5.6   8.3   6.1   4.4   6.1   2.8   5.6   5.6   7.8
##  [205]   3.9   4.4   6.7   8.9   7.8   1.7   1.7   4.4   5.0   3.9   3.9   2.8
##  [217]   5.6   8.3   6.1   8.3   5.6   8.9   8.9   6.7   5.6  -6.7  -1.7   3.3
##  [229]   5.6   5.6   9.4  10.0   6.7   8.9   9.4   7.8   8.9   8.3  11.1  11.1
##  [241]   7.8   3.9   5.0   8.3   5.6  10.0   6.1   6.7   6.1   7.8  11.1   8.3
##  [253]   8.9   6.1   6.7  10.0   9.4  10.6  10.0  15.0   6.1   8.3   0.6   6.1
##  [265]   7.2   7.8   7.8  12.2  11.1  18.3   6.7   2.8   8.9   8.9  10.0   9.4
##  [277]  12.2   8.3  10.0  11.7  13.3  14.4  12.2   5.0   2.8   2.2  -0.6   5.0
##  [289]   6.7   7.8   7.2   6.7   7.2  11.1  14.4  13.9  15.0  14.4  16.1  11.7
##  [301]   0.6   5.0   5.6   5.6   6.1   9.4   9.4   5.6   0.6  -3.9  -1.7   5.0
##  [313]   7.8   7.8   8.3  -4.4  -9.4  -8.3  -6.7  -1.1   1.7   4.4  10.0  13.9
##  [325]  13.3  13.9   6.7   8.9   8.3   6.1   2.8  -1.7  -5.0  -5.0  -6.7  -5.6
##  [337]  -7.2  -3.3  -1.1   4.4  10.6   6.7   7.8  10.0   8.9   1.1   1.7   8.3
##  [349]   6.7  11.7  12.8  10.0  13.3  15.0   9.4   6.7   9.4  10.0  11.7  16.1
##  [361]   4.4   7.2  10.0   2.8   2.8   0.6   5.0   4.4   3.3   1.7   2.8   6.7
##  [373]  11.7   9.4   6.7  10.6  14.4   9.4   8.3   5.6   7.8   6.7   5.0   5.0
##  [385]   5.6   5.0   5.6   6.1   9.4  11.1   6.7   3.3   6.7   7.2   8.3  11.1
##  [397]   8.9   8.9  10.0  13.3  11.1  10.6   7.2   7.2  13.3   4.4   6.1   8.9
##  [409]   8.9   4.4   7.8  10.6   7.2   8.9   9.4   8.9   6.7   8.3   8.3  11.1
##  [421]  -2.8   0.0  -1.1  -2.2  -1.1   2.8   4.4   6.7   5.6   3.3   4.4   6.7
##  [433]   7.2   7.2  10.6   7.2   7.8   7.8   5.6   8.3   8.9   7.2   8.9  10.0
##  [445]  12.2  14.4   4.4  -0.6   3.3  12.8   6.7   6.1   7.8  12.8   5.6   6.7
##  [457]   3.9   8.9   8.9   7.8   9.4   8.9  10.6   9.4   5.6   1.7   3.3   6.1
##  [469]   9.4   3.3   1.7   9.4   7.8  11.7  11.7   9.4   8.9   6.1   8.3   7.8
##  [481]   3.9   6.1   2.2   0.6  -1.7   0.6   2.8   1.1  10.0   6.7   2.2   3.9
##  [493]   3.9   0.0   2.8   6.7   6.7   5.6   4.4   6.1   5.6   5.0   4.4   5.6
##  [505]   6.1   3.3   4.4   7.2   9.4   9.4   3.8   4.6   2.9   4.7   0.1   2.2
##  [517]   3.1   5.1   5.7   5.6   7.4   5.8   5.4  16.3  18.7   7.2   7.9   7.4
##  [529]   6.6  11.9   5.7   9.5   7.8  11.3   7.4   8.2   9.1  10.1  11.9  13.6
##  [541]  12.1  12.0  16.0  10.1   1.5   0.6   2.3   1.6  -1.4   2.0  -0.2   3.0
##  [553]   2.9   5.1   3.2   4.5   4.8   5.6   6.1   6.1   5.6   7.3   5.7   4.6
##  [565]   7.7   6.9   9.3  11.2  13.7  13.2   5.4   6.5  10.0  11.2   8.6   9.9
##  [577]   8.7  11.6  10.2   8.1   8.6   7.2   4.5   5.8   5.5   8.5  10.9   6.4
##  [589]   5.7  11.2   3.3   4.7   4.9   5.2   4.5   2.1  -4.0   2.8   1.6   0.6
##  [601]   0.4   2.0   1.7   3.6   8.9  12.6  10.1  10.0   8.9   8.6  10.7   7.8
##  [613]  11.0  10.8  13.8   7.5   6.4   9.2   8.9   4.0   8.9  10.0   9.0   9.9
##  [625]  13.5  12.7  14.0  13.8   8.5   8.9   5.6   1.9   5.4   5.5   4.6   5.8
##  [637]   6.6   6.7   3.5   5.6   8.5   8.2   7.2   2.4   2.9  11.9   8.5   9.7
##  [649]   5.6   8.4  10.7  10.3   8.6   4.1   6.8   2.3   8.0  10.2  11.3  10.3
##  [661]   7.7  10.0  11.4  10.5   6.7   6.3   0.4   4.5  13.7  13.3  10.3  16.2
##  [673]  20.3  16.2  12.6   6.8   6.6   8.4   7.2   4.2   3.5   2.1   3.3   4.9
##  [685]   4.1   9.3   7.6   6.6  10.2   6.7   5.4   7.5   5.6   7.1   7.4   8.5
##  [697]   7.2   7.1   8.3   7.8   7.9   6.1   7.5   7.2   6.7  -1.9  -3.3   0.4
##  [709]   4.1   8.5  10.0   9.8  13.3  11.5   8.9   9.2  13.5  10.7   9.4  12.5
##  [721]   8.0   2.0   2.6   0.5   0.8   4.2  10.3   8.5   8.5   9.6  14.8  10.3
##  [733]   7.2   9.9   9.2  15.1  14.8   8.4   9.8  14.6  12.5   4.9   5.1   7.3
##  [745]  10.7  11.3  18.6  21.5   9.6   8.9  12.8  12.6   8.6   7.3   5.8   5.9
##  [757]   8.1   7.3   9.9  10.7  10.0  14.0   9.3   9.7   8.6   7.1   2.3   5.8
##  [769]   8.7  12.3  12.8  16.9  13.9  16.6  18.3  15.0  15.1  13.1  12.2   4.6
##  [781]   8.7   5.4   4.9   1.9   6.6  10.3  12.7  13.0  13.8  18.9  15.3  10.7
##  [793]   6.6  13.5   9.0  -2.1  -3.9  -3.0   0.4   6.3   2.6   2.1   2.2   0.1
##  [805]  -1.0  -0.3   5.9   3.3   7.6  10.2   4.5   4.0   6.0   4.0   8.5   6.4
##  [817]   6.2   8.2   8.0   7.3   4.7   6.4   7.8   4.1   5.3   9.1    NA    NA
##  [829]    NA    NA  12.2   9.2  12.3  10.4   9.1   8.0   7.2   6.5   8.6   8.7
##  [841]   1.0   4.6   4.6   6.8   7.6   7.8   9.3   8.9   8.3   9.2   8.4   6.4
##  [853]   7.4   7.3   9.3   4.4   5.2   5.9   5.9   7.0   9.8  10.0   9.5   8.5
##  [865]   5.5   4.9   6.9   9.7   7.4   5.2   1.4  -0.6   1.0   5.3   8.8   8.2
##  [877]   9.1  10.8   9.7  11.1  10.9  12.2   9.4   7.3   9.7  -1.8  -1.1  -0.7
##  [889]   0.0   2.1  -1.4  -1.3   3.7   1.8   1.4   2.3   6.2   6.9   5.8   3.8
##  [901]   2.7   7.1   5.6   9.9   6.4   8.7   8.6  10.8  12.8   7.3   8.6   8.9
##  [913]   8.2   9.4   5.9   5.1   6.3   6.8   8.4  10.2  11.2   9.0   9.8  16.1
##  [925]  16.6  19.9  20.8  14.9  14.6  11.1  15.7  14.5   8.8  10.1   8.7   3.3
##  [937]   8.0   9.7  11.2  11.7  11.4  10.8  11.6  11.9  10.7   6.8   3.0   1.8
##  [949]  -0.2   4.5   1.1   4.0   3.9   4.2  -3.4  -7.4  -4.0  -4.7  -4.5  -0.6
##  [961]   3.5   5.1   3.2   4.7   4.5   5.4   7.1   6.2   2.6   5.3   7.8   7.4
##  [973]   6.4   6.2   8.1  11.7  11.2    NA   8.0   8.2   3.2   6.6  10.4  13.1
##  [985]  10.0   7.2   4.9   8.9   8.0   5.6  10.1   9.8   9.4   7.1   7.0   4.8
##  [997]   3.2   5.6   7.4   8.7   4.6   5.9   5.7   4.4   4.9   7.1   7.7   6.8
## [1009]  10.8  13.0  12.2   9.8   3.2   6.4   6.9  12.0  13.2  15.2   8.1   8.2
## [1021]  11.9   8.8   7.2   7.9   8.4   6.1   5.8   6.6   4.5   7.8   8.0   9.1
## [1033]   9.2   9.2  10.8  16.7  11.5  10.0  13.0   8.4   6.2   4.2   5.4   6.2
## [1045]   7.5   5.5  10.1   6.6   4.4   4.7   9.5   2.8   6.9   7.3   7.6   7.4
## [1057]   9.5   5.3   8.9   9.6   7.7  10.9  10.6   9.8   7.3  -0.7   0.6  -1.9
## [1069]   7.5  14.6   6.3   3.5   6.5   2.1   6.2   6.8   4.7   6.0  10.6  10.5
## [1081]  -2.2   3.6   5.4   6.5   7.6   7.5   2.8   4.3   0.6   2.4   4.1  -3.1
## [1093]   0.5   1.8   2.3   9.1  10.6   5.4   5.0   6.7   8.1   8.8   9.3   7.9
## [1105]  12.5  10.2   1.5   0.5   1.6   2.6   5.5   8.9  10.7   8.5  10.5   6.8
## [1117]  10.9  13.3  17.8  15.5   7.3   9.8  14.9  18.8  13.4  -1.4   0.2   2.0
## [1129]   5.3   7.7   8.8  11.2   7.5   8.0   8.4  10.3   6.9   8.8   9.3   9.2
## [1141]   8.7  11.3  12.8  10.4   6.6   5.2   7.8   7.8   8.8   9.0  10.6  11.1
## [1153]  12.4  12.8  14.6   0.4   4.4   8.3   4.8   7.9   8.1   5.2   7.2  12.3
## [1165]   8.6   0.2  -1.9  -5.0  -2.5   5.2   4.4   6.8   5.9   5.2   6.0   4.1
## [1177]   3.6   3.7   1.9   2.6   3.3   1.9   5.2   5.9   6.2   5.7   6.4   6.6
## [1189]   4.2   2.6   4.5   4.8   2.8   3.5   2.7   4.6   2.0   2.8   3.5   7.2
## [1] 1200

get 90th from the all year for all day value

##   [1]  3.80  3.60  3.70  3.70  3.80  3.90  4.00  4.00  4.04  4.00  4.10  4.10
##  [13]  4.12  4.10  4.03  4.22  4.43  4.38  4.27  4.40  4.30  4.30  4.40  4.71
##  [25]  4.90  5.00  5.00  5.10  5.37  5.60  5.60  5.80  5.71  5.80  5.70  5.80
##  [37]  5.80  5.80  5.90  5.90  5.90  5.80  6.00  6.00  6.10  6.10  6.10  6.31
##  [49]  6.52  6.67  6.70  6.70  6.80  7.00  7.20  7.31  7.60  7.80  7.80  7.92
##  [61]  7.90  8.20  8.30  8.50  8.58  8.90  9.10  9.40  9.52  9.70  9.90 10.00
##  [73] 10.00 10.00 10.20 10.30 10.30 10.40 10.51 10.60 10.60 10.76 10.90 11.10
##  [85] 11.21 11.60 11.70 11.90 12.20 12.50 12.80 13.22 13.30 13.50 13.90 14.00
##  [97] 14.40 14.40 14.50 14.70 15.00 15.30 15.60 15.80 16.00 16.10 16.20 16.70
## [109] 16.94 17.20 17.50 17.80 18.10 18.30 18.40 18.85 19.00 19.23 19.40 19.50
## [121] 19.69 20.00 20.30 20.60 21.10 21.16 21.70 22.20 22.20 22.20 22.73 22.80
## [133] 23.10 23.28 23.30 23.30 23.30 23.30 23.30 23.40 23.90 23.90 23.90 24.00
## [145] 24.20 24.30 24.40 24.40 24.50 24.60 24.80 24.90 25.00 25.00 25.10 25.00
## [157] 25.00 25.00 25.00 25.20 25.20 25.30 25.40 25.60 25.60 25.70 25.80 25.90
## [169] 26.00 26.10 26.10 26.10 26.20 26.28 26.33 26.60 26.70 26.70 26.70 26.70
## [181] 26.70 26.70 26.90 26.90 27.20 27.20 27.50 27.55 27.50 27.40 27.40 27.39
## [193] 27.40 27.51 27.80 27.80 27.90 28.10 28.10 28.10 28.10 28.30 28.34 28.60
## [205] 28.90 29.10 29.10 29.17 29.20 29.10 29.30 29.29 29.29 29.20 29.30 29.20
## [217] 29.20 29.20 28.99 28.90 28.90 28.90 28.90 28.70 28.68 28.60 28.50 28.30
## [229] 28.20 28.10 27.90 27.80 27.50 27.20 26.80 26.70 26.10 25.94 25.73 25.60
## [241] 25.30 25.00 24.80 24.70 24.80 24.70 24.60 24.60 24.40 24.40 24.40 24.40
## [253] 24.16 23.90 23.76 23.30 23.30 23.30 23.30 23.00 22.96 22.80 22.80 22.80
## [265] 22.40 22.20 21.96 21.70 21.70 21.66 21.56 21.16 20.60 20.10 19.66 19.30
## [277] 18.90 18.90 18.44 18.30 18.30 18.00 17.80 17.20 17.00 16.70 16.60 16.10
## [289] 15.80 15.60 15.00 14.60 14.40 14.20 13.90 13.70 13.50 13.30 12.90 12.80
## [301] 12.40 12.20 12.20 11.70 11.19 10.60 10.54 10.19 10.00 10.00  9.40  9.32
## [313]  8.90  8.60  8.30  8.06  7.80  7.70  7.60  7.20  7.20  6.80  6.70  6.70
## [325]  6.30  6.20  6.10  6.10  5.95  5.90  5.70  5.60  5.60  5.36  5.00  5.00
## [337]  4.60  4.40  4.50  4.40  4.50  4.50  4.40  4.40  4.40  4.40  4.40  4.40
## [349]  4.40  4.40  4.40  4.40  4.40  4.40  4.40  4.40  4.40  4.40  4.26  4.20
## [361]  4.20  4.20  3.90  3.90  3.90  3.90

Plot

plot given year temp dist vs baseline 90th

## `summarise()` has grouped output by 'Month'. You can override using the
## `.groups` argument.
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_line()`).
## Removed 1 row containing missing values or values outside the scale range
## (`geom_line()`).

plot all year temp in grey vs baseline

## Warning: Removed 468 rows containing missing values or values outside the scale range
## (`geom_line()`).

## Warning: Removed 466 rows containing missing values or values outside the scale range
## (`geom_line()`).
## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_line()`).
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_line()`).

## Warning: Removed 468 rows containing missing values or values outside the scale range
## (`geom_line()`).

## Warning: Removed 466 rows containing missing values or values outside the scale range
## (`geom_line()`).
## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_line()`).
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_line()`).

## Warning: Removed 467 rows containing missing values or values outside the scale range
## (`geom_line()`).
## Removed 1 row containing missing values or values outside the scale range
## (`geom_line()`).
## Removed 1 row containing missing values or values outside the scale range
## (`geom_line()`).

Analyze the hw

hw dist for certain 1 year

prepare for the data

## # A tibble: 20 × 7
##    Month   Day Percentile_90 MAX_TEMP_YEAR DayOfYear Condition Cumulative_Count
##    <int> <int>         <dbl>         <dbl>     <dbl> <lgl>                <dbl>
##  1     1    11          4.1            5.5        11 TRUE                     1
##  2     1    12          4.1            5.5        12 TRUE                     2
##  3     3    17         10.3           11.2        76 TRUE                     1
##  4     3    18         10.4           12.1        77 TRUE                     2
##  5     3    19         10.5           14          78 TRUE                     3
##  6     3    20         10.6           15.7        79 TRUE                     4
##  7     3    21         10.6           15.7        80 TRUE                     5
##  8     3    22         10.8           14.5        81 TRUE                     6
##  9     5     9         22.2           25         129 TRUE                     1
## 10     5    10         22.7           25.1       130 TRUE                     2
## 11     5    11         22.8           26         131 TRUE                     3
## 12     5    27         24.4           26.6       147 TRUE                     1
## 13     5    28         24.5           27.7       148 TRUE                     2
## 14     5    29         24.6           26.5       149 TRUE                     3
## 15     5    30         24.8           27.1       150 TRUE                     4
## 16     5    31         24.9           27.4       151 TRUE                     5
## 17     6    12         25.6           26.4       163 TRUE                     1
## 18     9     3         24.6           25.6       246 TRUE                     1
## 19    11    17          6.8           11.9       321 TRUE                     1
## 20    11    24          5.95           6.3       328 TRUE                     1

plot hw analysis for all year

plot overall count of hw through years

##    Case_Length Count Year
## 1            4     1 1942
## 2            5     1 1942
## 3            3     2 1943
## 4            4     1 1943
## 5            3     1 1944
## 6            4     1 1944
## 7            5     1 1944
## 8            3     2 1945
## 9            4     1 1945
## 10           3     2 1946
## 11           4     1 1946
## 12           5     1 1946
## 13           4     2 1947
## 14           6     1 1947
## 15           4     1 1948
## 16           5     1 1948
## 17           3     1 1949
## 18           4     2 1949
## 19           8     1 1949
## 20           3     2 1950
## 21           9     1 1950
## 22           3     3 1951
## 23           4     1 1951
## 24           3     3 1952
## 25           5     1 1952
## 26           3     1 1953
## 27           6     1 1953
## 28           3     1 1954
## 29           4     2 1954
## 30           3     1 1955
## 31           3     2 1956
## 32           4     1 1956
## 33           5     1 1956
## 34           3     1 1957
## 35           3     5 1958
## 36           4     2 1958
## 37           5     1 1958
## 38           6     1 1958
## 39           8     1 1958
## 40           4     1 1959
## 41           3     3 1960
## 42           3     4 1961
## 43           4     1 1961
## 44           6     1 1961
## 45           3     1 1962
## 46           4     1 1962
## 47           5     1 1962
## 48           6     1 1962
## 49           3     1 1963
## 50           4     1 1963
## 51           6     1 1963
## 52           3     1 1964
## 53           3     3 1965
## 54           4     1 1965
## 55           3     2 1966
## 56           4     2 1967
## 57           3     1 1968
## 58           4     1 1968
## 59           6     1 1968
## 60           7     1 1968
## 61           3     1 1969
## 62           4     1 1969
## 63           5     3 1969
## 64           6     1 1969
## 65           3     4 1970
## 66           3     2 1971
## 67           4     1 1971
## 68           3     1 1972
## 69           4     1 1972
## 70           3     2 1973
## 71           6     1 1973
## 72           3     2 1975
## 73           5     1 1975
## 74           3     2 1976
## 75           3     1 1977
## 76           5     2 1977
## 77           3     1 1978
## 78           4     2 1978
## 79           3     6 1979
## 80           4     1 1979
## 81           5     2 1979
## 82           3     2 1980
## 83           4     2 1980
## 84           5     2 1980

##     Case_Length Count Year
## 1             3     2 1980
## 2             4     2 1980
## 3             5     2 1980
## 4             3     2 1981
## 5             4     3 1981
## 6             5     1 1981
## 7             6     1 1981
## 8             3     1 1982
## 9             4     3 1982
## 10            4     1 1983
## 11            5     1 1983
## 12            3     3 1984
## 13            4     1 1984
## 14            5     1 1984
## 15            3     1 1985
## 16            4     1 1985
## 17            3     4 1986
## 18            4     1 1986
## 19            7     1 1986
## 20            3     7 1987
## 21            5     2 1987
## 22            3     3 1988
## 23            4     1 1988
## 24            5     1 1988
## 25            3     3 1989
## 26            3     2 1990
## 27            4     1 1990
## 28            4     1 1991
## 29            5     2 1991
## 30            7     2 1991
## 31            3     5 1992
## 32            5     3 1992
## 33            6     1 1992
## 34            3     2 1993
## 35            4     2 1993
## 36            3     2 1994
## 37            8     2 1994
## 38            3     6 1995
## 39            5     1 1995
## 40            4     1 1996
## 41            3     1 1997
## 42            4     1 1997
## 43            5     1 1997
## 44            3     1 1998
## 45            4     1 1998
## 46            5     2 1998
## 47            3     3 1999
## 48            4     2 2001
## 49            3     1 2002
## 50            4     2 2002
## 51            5     1 2002
## 52            3     2 2003
## 53            4     1 2003
## 54            7     1 2003
## 55            3     1 2004
## 56            4     1 2004
## 57            9     2 2004
## 58            3     3 2005
## 59            4     1 2005
## 60            5     2 2005
## 61            7     2 2005
## 62            9     1 2005
## 63            3     3 2006
## 64            5     1 2006
## 65            6     1 2006
## 66            8     1 2006
## 67            3     1 2007
## 68            4     2 2007
## 69            3     3 2008
## 70            4     2 2008
## 71            3     2 2009
## 72            4     1 2009
## 73            9     1 2009
## 74            3     2 2010
## 75            4     1 2010
## 76            6     2 2010
## 77            4     2 2012
## 78            3     4 2013
## 79            5     1 2013
## 80            3     4 2014
## 81            4     1 2014
## 82            3     3 2015
## 83            5     1 2015
## 84            6     1 2015
## 85            3     1 2016
## 86            6     1 2016
## 87           11     1 2016
## 88            3     1 2017
## 89            4     1 2017
## 90            5     1 2017
## 91            3     3 2018
## 92            4     4 2018
## 93            5     1 2018
## 94            3     1 2019
## 95            5     1 2019
## 96            6     1 2019
## 97            5     1 2020
## 98            3     2 2021
## 99            7     1 2021
## 100           3     3 2022
## 101           5     2 2022
## 102           6     2 2022
## 103           3     5 2023
## 104           4     3 2023
## 105           9     1 2023
## 106           5     1 2024
## 107           7     1 2024

plot for heat map

examine specific year

## Warning: Removed 466 rows containing missing values or values outside the scale range
## (`geom_line()`).
## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_line()`).
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_line()`).